Top Repositories
Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).
Stochastic AUC Maximization with Deep Neural Networks
Top1 Solution on OGB Challenge (Graph Property Prediction on HIV dataset)
Stagewise training accelerates convergence of testing error over sgd
PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Repositories
8Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).
Stochastic AUC Maximization with Deep Neural Networks
Top1 Solution on OGB Challenge (Graph Property Prediction on HIV dataset)
Stagewise training accelerates convergence of testing error over sgd
PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Official implementation: "Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication Complexity", ICML2021.
Official implementation of the paper "Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification, ICCV2021"